Thank you for sharing nice work! This is not bug. I just want to clarify my points In your Table 1, you used DenseNet-121, DenseNet-169...What does it means 121? How to compute it? If it is the depth of network, what is relationship with...
Consider changing the architecture of the model or using the type of model with fewer trainable parameters (for example, chooseDenseNet-121 over DenseNet-169). This approach can affect the model’s performance metrics. Reduce the batch size or manually set the number of data loader workers. In ...
>Furthermore, the final layer in ViTs appears to behave as a learned global pooling operation that aggregates information from all patches, which is similar to its explicit averagepooling counterpart in CNNs. **ViT 依赖前景还是背景**:直觉上,ViT 由于全局视野对于背景的利用更充分。卷积的有效感受野...
Model 1 was based on U-net and Densenet-121 for vessel segmentation. Model 2 was used for classification of flow (laminar, turbulent, antegrade, retrograde or stagnant). Model 2 was trained based on the convolutional neural network.#Results:Ten dual angiograms were selected. At the index ...
that were extracted using a DenseNet model [190] to segment each class in head and neck squamous cell carcinoma H&E slides. 3. Quantitative Evaluation of the Presence of Different Models in Medline To assess the distribution of the different definitions of the word model as related to the ...